Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.
Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation—specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.
At Volga Partners, you’ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.
Overview
We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.
This is not a junior role — candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.
You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability.
Key Responsibilities
Build and ship AI-powered features (chatbots, copilots, automation tools)
Design and implement RAG pipelines using embeddings and vector search
Write and optimize prompts and system instructions
Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems
Develop backend services (Python / Node.js) to support AI workflows
Work with real-world data (documents, logs, APIs)
Improve system reliability through evaluations, testing, and iteration
Debug issues such as hallucinations, latency, and cost inefficiencies
Collaborate closely with founders and product team on product direction
Requirements
2+ years of experience in Machine Learning or AI-related roles
Strong coding skills in Python or JavaScript
Hands-on experience working with LLM APIs
Experience building RAG pipelines or agent-based systems
Solid understanding of ML fundamentals (fine-tuning is a plus)
Proven ability to build and ship production-ready systems
Tech Stack
Python, Node.js
OpenAI / Anthropic APIs
Vector databases (Pinecone, Chroma)
React / Next.js
AWS / Vercel
LangChain / LlamaIndex
Prompt engineering
Embeddings + vector search
API design and backend systems
Nice to Have
Experience with LLM evaluation, fine-tuning, or model optimization
Exposure to agent frameworks or multi-step reasoning systems
Domain experience in finance, healthcare, legal, or other high-accuracy environments
What we Offer
Salary: $2,500 – $3,500 USD/month (based on experience and alignment with role expectations)
Opportunity to own and shape a meaningful internal product
Collaborative, low-bureaucracy environment
Exposure to cutting-edge AI and automation technologies
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